Cluster on pct losses

knitr::opts_knit$set(root.dir = "/Users/lucamainini/Documents/GitHub/np_project/")

output <- tseriescm(data,maxiter=4000,level=FALSE,trend=TRUE,
                           seasonality=TRUE,priorb=FALSE,b=0)

Iteration Number:  50 . Progress:  1.25 % 
Iteration Number:  100 . Progress:  2.5 % 
Iteration Number:  150 . Progress:  3.75 % 
Iteration Number:  200 . Progress:  5 % 
Iteration Number:  250 . Progress:  6.25 % 
Iteration Number:  300 . Progress:  7.5 % 
Iteration Number:  350 . Progress:  8.75 % 
Iteration Number:  400 . Progress:  10 % 
Iteration Number:  450 . Progress:  11.25 % 
Iteration Number:  500 . Progress:  12.5 % 
Iteration Number:  550 . Progress:  13.75 % 
Iteration Number:  600 . Progress:  15 % 
Iteration Number:  650 . Progress:  16.25 % 
Iteration Number:  700 . Progress:  17.5 % 
Iteration Number:  750 . Progress:  18.75 % 
Iteration Number:  800 . Progress:  20 % 
Iteration Number:  850 . Progress:  21.25 % 
Iteration Number:  900 . Progress:  22.5 % 
Iteration Number:  950 . Progress:  23.75 % 
Iteration Number:  1000 . Progress:  25 % 
Iteration Number:  1050 . Progress:  26.25 % 
Iteration Number:  1100 . Progress:  27.5 % 
Iteration Number:  1150 . Progress:  28.75 % 
Iteration Number:  1200 . Progress:  30 % 
Iteration Number:  1250 . Progress:  31.25 % 
Iteration Number:  1300 . Progress:  32.5 % 
Iteration Number:  1350 . Progress:  33.75 % 
Iteration Number:  1400 . Progress:  35 % 
Iteration Number:  1450 . Progress:  36.25 % 
Iteration Number:  1500 . Progress:  37.5 % 
Iteration Number:  1550 . Progress:  38.75 % 
Iteration Number:  1600 . Progress:  40 % 
Iteration Number:  1650 . Progress:  41.25 % 
Iteration Number:  1700 . Progress:  42.5 % 
Iteration Number:  1750 . Progress:  43.75 % 
Iteration Number:  1800 . Progress:  45 % 
Iteration Number:  1850 . Progress:  46.25 % 
Iteration Number:  1900 . Progress:  47.5 % 
Iteration Number:  1950 . Progress:  48.75 % 
Iteration Number:  2000 . Progress:  50 % 
Iteration Number:  2050 . Progress:  51.25 % 
Iteration Number:  2100 . Progress:  52.5 % 
Iteration Number:  2150 . Progress:  53.75 % 
Iteration Number:  2200 . Progress:  55 % 
Iteration Number:  2250 . Progress:  56.25 % 
Iteration Number:  2300 . Progress:  57.5 % 
Iteration Number:  2350 . Progress:  58.75 % 
Iteration Number:  2400 . Progress:  60 % 
Iteration Number:  2450 . Progress:  61.25 % 
Iteration Number:  2500 . Progress:  62.5 % 
Iteration Number:  2550 . Progress:  63.75 % 
Iteration Number:  2600 . Progress:  65 % 
Iteration Number:  2650 . Progress:  66.25 % 
Iteration Number:  2700 . Progress:  67.5 % 
Iteration Number:  2750 . Progress:  68.75 % 
Iteration Number:  2800 . Progress:  70 % 
Iteration Number:  2850 . Progress:  71.25 % 
Iteration Number:  2900 . Progress:  72.5 % 
Iteration Number:  2950 . Progress:  73.75 % 
Iteration Number:  3000 . Progress:  75 % 
Iteration Number:  3050 . Progress:  76.25 % 
Iteration Number:  3100 . Progress:  77.5 % 
Iteration Number:  3150 . Progress:  78.75 % 
Iteration Number:  3200 . Progress:  80 % 
Iteration Number:  3250 . Progress:  81.25 % 
Iteration Number:  3300 . Progress:  82.5 % 
Iteration Number:  3350 . Progress:  83.75 % 
Iteration Number:  3400 . Progress:  85 % 
Iteration Number:  3450 . Progress:  86.25 % 
Iteration Number:  3500 . Progress:  87.5 % 
Iteration Number:  3550 . Progress:  88.75 % 
Iteration Number:  3600 . Progress:  90 % 
Iteration Number:  3650 . Progress:  91.25 % 
Iteration Number:  3700 . Progress:  92.5 % 
Iteration Number:  3750 . Progress:  93.75 % 
Iteration Number:  3800 . Progress:  95 % 
Iteration Number:  3850 . Progress:  96.25 % 
Iteration Number:  3900 . Progress:  97.5 % 
Iteration Number:  3950 . Progress:  98.75 % 
Iteration Number:  4000 . Progress:  100 % 
Number of groups of the chosen cluster configuration:  46 
Time series in group 1 : alabama 
Time series in group 2 : arizona 
Time series in group 3 : arkansas 
Time series in group 4 : california 
Time series in group 5 : colorado 
Time series in group 6 : connecticut 
Time series in group 7 : florida 
Time series in group 8 : georgia 
Time series in group 9 : hawaii 
Time series in group 10 : idaho 
Time series in group 11 : illinois 
Time series in group 12 : indiana 
Time series in group 13 : iowa 
Time series in group 14 : kansas 
Time series in group 15 : kentucky 
Time series in group 16 : louisiana 
Time series in group 17 : maine 
Time series in group 18 : maryland 
Time series in group 19 : massachusetts 
Time series in group 20 : michigan 
Time series in group 21 : minnesota 
Time series in group 22 : mississippi 
Time series in group 23 : missouri 
Time series in group 24 : montana 
Time series in group 25 : nebraska 
Time series in group 26 : new jersey 
Time series in group 27 : new mexico 
Time series in group 28 : new york 
Time series in group 29 : north carolina 
Time series in group 30 : north dakota 
Time series in group 31 : ohio 
Time series in group 32 : oklahoma 
Time series in group 33 : oregon 
Time series in group 34 : other states 
Time series in group 35 : pennsylvania 
Time series in group 36 : south carolina 
Time series in group 37 : south dakota 
Time series in group 38 : tennessee 
Time series in group 39 : texas 
Time series in group 40 : utah 
Time series in group 41 : vermont 
Time series in group 42 : virginia 
Time series in group 43 : washington 
Time series in group 44 : west virginia 
Time series in group 45 : wisconsin 
Time series in group 46 : wyoming 
HM Measure:  0 

clusterplots(output,data)

diagplots(output)